PhD Courses in Denmark

The course Experimental design builds on the knowledge and skills learned in the course Applied Quantitative Methods for Management Research - Module A: Understanding causality. The course therefore requires a basic understanding of statistics (regression) and causality. The course is organised around a typical workflow in experimental research in management and marketing. Each unit teaches theory followed by hands-on exercises.

Course objectives:

• Critically Evaluate Experimental Research
  Students will be able to read, interpret, and critically review scientific articles that use experimental methods, assessing the validity of causal claims and the appropriateness of experimental designs.
• Design and Conduct Experiments
  Students will gain the ability to design and implement factorial experiments, including defining manipulations, selecting appropriate experimental designs (e.g., within- or between-subjects), and addressing potential biases such as learning effects and demand characteristics.
• Analyse Experimental Data
  Students will learn how to analyse experimental data using generalised linear mixed models to account for fixed and random effects and conduct power analyses to determine appropriate sample sizes.
• Develop Reproducible and Transparent Research Workflows
  Students will be able to create reproducible research workflows, including preregistration, data collection, manipulation checks, and transparent reporting of findings following APA Journal Article Reporting Standards (JARS) 
  
  For more information, please see the link on the right-hand side of the page.